A fraud analysis computing system is provided. The system includes a network interface configured to communicate data over a network and a processing circuit including one or more processors coupled to non-transitory memory. The processing circuit is configured to monitor incoming call data generated during an incoming call between a user and an incoming caller, detect a fraud trigger within the incoming call data, and complete a fraud interception activity in response to detection of the fraud trigger.

An example method includes providing third party access to listen to a call and the ability to inject audio into an isolated audio portion of the call by using a switch controller within a mobile virtual network operator (MVNO) platform. The switch controller can to separate a call into multiple audio portions. The example method can further include collecting and warehousing call metadata and providing access to isolated audio portions via an external database, web object, API, etc.

An example method includes providing third party access to listen to a call and the ability to inject audio into an isolated audio portion of the call by using a switch controller within a mobile virtual network operator (MVNO) platform. The switch controller can to separate a call into multiple audio portions. The example method can further include collecting and warehousing call metadata and providing access to isolated audio portions via an external database, web object, API, etc.

A method and system provide a backup push-to-talk (PTT) function for a transmitter in a stuck microphone condition. The method determines whether a stuck microphone condition exists in the transmitter, and if the stuck microphone condition exists, the method alerts a user that the stuck microphone condition exists. The method then enables a backup PTT interface for the transmitter such that a backup PTT button is available to the user to activate the backup PTT function. The method alerts the user when the backup PTT function is activated, and sends a message to a receiver after the backup PTT button is engaged by the user.

A method and system provide a backup push-to-talk (PTT) function for a transmitter in a stuck microphone condition. The method determines whether a stuck microphone condition exists in the transmitter, and if the stuck microphone condition exists, the method alerts a user that the stuck microphone condition exists. The method then enables a backup PTT interface for the transmitter such that a backup PTT button is available to the user to activate the backup PTT function. The method alerts the user when the backup PTT function is activated, and sends a message to a receiver after the backup PTT button is engaged by the user.

A voice communication method, a voice communication apparatus, and a voice communication system are disclosed. The method includes: at a transmitting side, obtaining voice information; determining whether the voice information is uttered by a preset user, and transmitting the voice information to a peer device if it is determined that the voice information is uttered by the preset user, and prohibiting the transmission of the voice information otherwise; and at a receiving side, receiving voice information transmitted from a peer device; collecting a first environmental information, and determining whether the first environmental information meets a voice output condition; outputting the voice information if it is determined that the first environmental information meets the voice output condition, and prohibiting the output of the voice information otherwise.

A voice communication method, a voice communication apparatus, and a voice communication system are disclosed. The method includes: at a transmitting side, obtaining voice information; determining whether the voice information is uttered by a preset user, and transmitting the voice information to a peer device if it is determined that the voice information is uttered by the preset user, and prohibiting the transmission of the voice information otherwise; and at a receiving side, receiving voice information transmitted from a peer device; collecting a first environmental information, and determining whether the first environmental information meets a voice output condition; outputting the voice information if it is determined that the first environmental information meets the voice output condition, and prohibiting the output of the voice information otherwise.

A local network call handling device is configured to establish multiple concurrent call sessions between local network end devices and an external network. When a prioritized end device attempts to establish a call session, the call handling device may initially determine if a first call session identifier is available. If so, the call session can be established using that first identifier. If the first identifier is in use for a call session of another end device, the call handling device may either use a different call session identifier for the prioritized end device session or may drop a pre-existing call session to free an identifier for use in connection with the prioritized end device.

A local network call handling device is configured to establish multiple concurrent call sessions between local network end devices and an external network. When a prioritized end device attempts to establish a call session, the call handling device may initially determine if a first call session identifier is available. If so, the call session can be established using that first identifier. If the first identifier is in use for a call session of another end device, the call handling device may either use a different call session identifier for the prioritized end device session or may drop a pre-existing call session to free an identifier for use in connection with the prioritized end device.

Example embodiments of this disclosure provide a method, an apparatus, a server, a storage medium, and a system for call processing. The method includes: monitoring, in real time, a call processing process of an artificial intelligence AI robot, to obtain an interaction text of the call, where the interaction text includes a recognition result of a user question and a reply to the user question; obtaining a service level value of the AI robot for the call based on the obtained interaction text; and when the service level value meets a first condition, performing an intervention operation on the call by using a target agent device.